performing-threat-intelligence-sharing-with-misp

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-threat-intelligence-sharing-with-misp
0 commentsdiscussion
summary

Use PyMISP to create, enrich, and share threat intelligence events on a MISP platform, including IOC management, feed integration, STIX export, and community sharing workflows.

skill.md
name
performing-threat-intelligence-sharing-with-misp
description
Use PyMISP to create, enrich, and share threat intelligence events on a MISP platform, including IOC management, feed integration, STIX export, and community sharing workflows.
domain
cybersecurity
subdomain
threat-intelligence
tags
- misp - pymisp - threat-intelligence - ioc-sharing - stix - taxii - threat-feeds - information-sharing
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- ID.RA-01 - ID.RA-05 - DE.CM-01 - DE.AE-02

Performing Threat Intelligence Sharing with MISP

Overview

MISP (Malware Information Sharing Platform) is an open-source threat intelligence platform designed for collecting, storing, distributing, and sharing cybersecurity indicators and threat information. PyMISP is the official Python library for interacting with MISP instances via the REST API, enabling programmatic event creation, attribute management, tag assignment, galaxy cluster attachment, and feed synchronization. This skill covers using PyMISP to create events with structured IOCs (IP addresses, domains, file hashes, URLs), enrich events with MITRE ATT&CK tags, manage sharing groups and distribution levels, search for existing intelligence, and export in STIX 2.1 format for interoperability with other platforms.

When to Use

  • When conducting security assessments that involve performing threat intelligence sharing with misp
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • MISP instance (v2.4+) with API access enabled
  • Python 3.9+ with pymisp (pip install pymisp)
  • MISP API key (Settings > Auth Keys)
  • Understanding of MISP data model (Events, Attributes, Objects, Tags, Galaxies)
  • Knowledge of TLP marking and sharing protocols

Steps

  1. Install PyMISP: pip install pymisp
  2. Initialize ExpandedPyMISP(url, key, ssl=True) connection
  3. Create a MISPEvent with info, distribution level, threat level, and analysis status
  4. Add attributes via event.add_attribute(type, value) for IPs, domains, hashes
  5. Apply TLP tags and MITRE ATT&CK technique tags
  6. Publish the event with misp.publish(event)
  7. Search existing events with misp.search(controller='events', value=..., type_attribute=...)
  8. Enable and configure threat feeds for automatic IOC ingestion
  9. Export events in STIX 2.1 format for cross-platform sharing
  10. Validate sharing group configuration and sync server settings

Expected Output

A JSON report summarizing events created, attributes added, tags applied, feed sync status, and any correlation hits against existing intelligence, with event IDs and distribution metadata.

how to use performing-threat-intelligence-sharing-with-misp

How to use performing-threat-intelligence-sharing-with-misp on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add performing-threat-intelligence-sharing-with-misp
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-threat-intelligence-sharing-with-misp

The skills CLI fetches performing-threat-intelligence-sharing-with-misp from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-threat-intelligence-sharing-with-misp

Reload or restart Cursor to activate performing-threat-intelligence-sharing-with-misp. Access the skill through slash commands (e.g., /performing-threat-intelligence-sharing-with-misp) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.640 reviews
  • Olivia Sharma· Dec 28, 2024

    Registry listing for performing-threat-intelligence-sharing-with-misp matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Dec 20, 2024

    I recommend performing-threat-intelligence-sharing-with-misp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Harper Malhotra· Dec 20, 2024

    Useful defaults in performing-threat-intelligence-sharing-with-misp — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aanya Jain· Dec 4, 2024

    performing-threat-intelligence-sharing-with-misp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Diya Bansal· Nov 23, 2024

    Keeps context tight: performing-threat-intelligence-sharing-with-misp is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Nov 11, 2024

    Solid pick for teams standardizing on skills: performing-threat-intelligence-sharing-with-misp is focused, and the summary matches what you get after install.

  • Liam Ramirez· Oct 14, 2024

    I recommend performing-threat-intelligence-sharing-with-misp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ganesh Mohane· Oct 2, 2024

    performing-threat-intelligence-sharing-with-misp is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Harper Khanna· Sep 25, 2024

    I recommend performing-threat-intelligence-sharing-with-misp for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Diego Chen· Sep 21, 2024

    performing-threat-intelligence-sharing-with-misp reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 40

1 / 4